Artificial intelligence and wireless communications

Jun WANG; Rong LI; Jian WANG; Yi-qun GE; Qi-fan ZHANG; Wu-xian SHI

doi:10.1631/FITEE.1900527

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Artificial intelligence and wireless communications

Regular Papers | Updated：2022-05-19

- Artificial intelligence and wireless communications
- 人工智能与无线通信
- Frontiers of Information Technology & Electronic Engineering Vol. 21, Issue 10, Pages: 1413-1425(2020)
- Affiliations：
  
  Wireless Technology Laboratory, Huawei Technologies Co., Ltd., Hangzhou 310051, China
  Wireless Technology Laboratory, Huawei Technologies Co., Ltd., Ottawa K0A3M0, Canada
- Author bio：
  
  [ "Jun WANG, E-mail: justin.wangjun@huawei.com" ]
  Rong LI, E-mail: lirongone.li@huawei.com
  [ "Jian WANG, E-mail: wangjian23@huawei.com" ]
  [ "Yi-qun GE, E-mail: yiqun.ge@huawei.com" ]
  [ "Qi-fan ZHANG, E-mail: qifan.zhang@huawei.com" ]
  [ "Wu-xian SHI, E-mail: wuxian.shi@huawei.com" ]
- Funds：
- DOI：10.1631/FITEE.1900527
  CLC： TN92
- Received：27 September 2019，
  
  Revised：2020-;5-18，
  
  Published Online：22 June 2020，
  
  Published：2020-10
- Accepted：
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Jun WANG, Rong LI, Jian WANG, et al. Artificial intelligence and wireless communications[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(10): 1413-1425.
DOI：

Jun WANG, Rong LI, Jian WANG, et al. Artificial intelligence and wireless communications[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(10): 1413-1425. DOI： 10.1631/FITEE.1900527.

摘要

近来，人工智能和机器学习技术在无线通信领域的应用受到极大关注。人工智能在语音理解、图像识别、自然语言处理等领域取得成功，展示了其解决难以建模问题的巨大潜力。无线通信在大量应用场景中存在着日益增长且多样的需求，而人工智能已成为满足这些需求的重要使能技术。本文详细介绍无线通信中人工智能发挥重要作用的一些典型场景，包括信道建模、信道译码和信号检测以及信道编码设计。进而，从信息瓶颈的角度讨论了人工智能和信息论的关系。最后，讨论了将人工智能技术深入集成在无线通信系统的一些想法。

Abstract

The applications of artificial intelligence (AI) and machine learning (ML) technologies in wireless communications have drawn significant attention recently. AI has demonstrated real success in speech understanding

image identification

and natural language processing domains

thus exhibiting its great potential in solving problems that cannot be easily modeled. AI techniques have become an enabler in wireless communications to fulfill the increasing and diverse requirements across a large range of application scenarios. In this paper

we elaborate on several typical wireless scenarios

such as channel modeling

channel decoding and signal detection

and channel coding design

in which AI plays an important role in wireless communications. Then

AI and information theory are discussed from the viewpoint of the information bottleneck. Finally

we discuss some ideas about how AI techniques can be deeply integrated with wireless communication systems.

关键词

Keywords

references

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